Twostage stochastic demand response in smart grid considering random appliance usage patterns
Twostage stochastic demand response in smart grid considering random appliance usage patterns
 Author(s): Yue Wang^{ 1} ; Hao Liang^{ 1} ; Venkata Dinavahi^{ 1}
 DOI: 10.1049/ietgtd.2018.5943
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 Author(s): Yue Wang^{ 1} ; Hao Liang^{ 1} ; Venkata Dinavahi^{ 1}


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Affiliations:
1:
Department of Electrical and Computer Engineering, University of Alberta , Edmonton , Canada

Affiliations:
1:
Department of Electrical and Computer Engineering, University of Alberta , Edmonton , Canada
 Source:
Volume 12, Issue 18,
16
October
2018,
p.
4163 – 4171
DOI: 10.1049/ietgtd.2018.5943 , Print ISSN 17518687, Online ISSN 17518695
By effectively adjusting the appliance usage patterns of customers, demand response (DR) is expected to bring significant economic and environmental benefits to the future smart grid. Two kinds of appliances should be considered for DR, i.e. shiftable appliances such as dishwashers and laundry machines, and nonshiftable appliances such as lights and stoves. Although the shiftable appliances can be well controlled by energy management systems, the random usage patterns of nonshiftable appliances will result in uncertainties to electrical demands and thus, affect the efficiency and reliability of smart grid operation. A twostage stochastic programming problem is formulated, for which the distribution system operation cost is minimised in the first stage, by considering various distribution system operation constraints. The scheduling of shiftable appliances is optimised in the second stage, by considering the random usage patterns of nonshiftable appliances. To reduce the computational complexity caused by a large number of home appliances in distribution systems, scenario reduction technique is applied to reduce the number of possible scenarios while still retaining the essential features of the original scenario set. Extensive simulations are performed to evaluate the proposed DR scheme in IEEE 33bus and 119bus test distribution systems based on real appliance usage pattern data.
Inspec keywords: stochastic programming; power distribution reliability; demand side management; domestic appliances; smart power grids; energy management systems; computational complexity
Other keywords: IEEE 119bus test distribution systems; IEEE 33bus test distribution systems; smart grid operation reliability; lights; stoves; distribution system operation cost; random appliance usage patterns; dishwashers; home appliances; energy management systems; appliance usage pattern data; DR schemes; nonshiftable appliances; laundry machines; electrical demands; scenario reduction technique; shiftable appliance optimal scheduling; twostage stochastic programming problem; twostage stochastic demand response; computational complexity
Subjects: Optimisation techniques; Power system management, operation and economics; Distribution networks; Reliability; Domestic appliances
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